by SalesforceAIResearch · Claude Skill · ★ 78
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agentforce-adlc Agent Development Life Cycle — Build, deploy, test, and optimize Agentforce agents using Claude Code skills and Agent Script DSL. What is this? provides a complete set of Claude Code skills for the full Agentforce agent lifecycle — from requirements to production optimization. Claude writes files directly using the Agent Script DSL. Key differentiators Direct authoring — Claude generates files natively, not via markdown-to-agent conversion Full lifecycle — Author, discover, scaffold, deploy, test, and optimize in one toolchain Safety built-in — LLM-driven safety review across the entire lifecycle (authoring, deploy, test, optimize) Deterministic agents — Agent Script DSL enforces code-level guarantees (conditionals, guards, transitions) Session trace analysis — Extract STDM data from Data Cloud for data-driven optimization 3 consolidated skills — Development, testing, and observability, following the agentskills.io standard Pipeline User prompt | /developing-agentforce v ++ scaffold stubs +++ | /developing-agentforce (deploy)
| Stars | 78 |
| Forks | 30 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 69.6148603147631/100 |
| Open Issues | 9 |
| Last Updated | 2026-06-30 |
| Created | 2026-04-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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agentforce-adlc is Agent Development Life Cycle — Build, deploy, test, and optimize Agentforce agents using Claude Code skills and Agent Script DSL.. It is categorized as a Claude Skill with 78 GitHub stars.
agentforce-adlc is primarily written in Python. It covers topics such as agentforce, claude-skill, cursor-rules.
You can find installation instructions and usage details in the agentforce-adlc GitHub repository at github.com/SalesforceAIResearch/agentforce-adlc. The project has 78 stars and 30 forks, indicating an active community.
The top alternatives to agentforce-adlc on Agent Skills Hub include shiplog, ClaudeForge, claude-code-aso-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.